deepagents
https://github.com/langchain-ai/deepagents
Python
Deep Agents is an agent harness built on langchain and langgraph. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped to handle complex agentic tasks.
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- Issues
- # Sandbox bake sends both snapshot_name and snapshot_id on the bake-builder create, and the API rejects it with 422 "snapshot_id and snapshot are mutually exclusive"
- deterministic skill loading
- fix(sdk): use separate middleware for filtering unsupported multimodal content
- release(deepagents-talon): 0.0.9
- feat(sdk): add Vertex prompt caching middleware
- optimize deepagents trajectory based on codex trajectory
- optimize binary reads by deferring file reads to object storage
- acp: a tool call with empty arguments is never surfaced to the client — both its start and its result are silently dropped
- langchain-quickjs: the eval tool description does not state that only one eval may be in flight
- StateBackend invalid-tool errors advertise the hidden execute tool, prompting unsupported tool calls
- Docs
- Python not yet supported